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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 14 days ago
processes and waste generation points. - Characterization of industrial waste and wastewater. - Optimization of waste management and proposals for improvement. - Developing strategies based on the circular
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 14 days ago
, fabrication, and optimization of electrochemical devices, exploring novel electrode materials, miniaturization strategies, and real-time analytical capabilities for diverse applications, including biosensing
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research specific billing and invoicing with an interdisciplinary team to continually optimize the system to deliver a product that makes efficient use of resources. Conduct audits and analysis
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the EMR. Review patient schedules in advance to optimize patient experience and ensure appropriate imaging and consult notes are available prior to appointments. Identify scheduling issues and assist with
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doctoral degree. More about being a doctoral student at LTH on lth.se. https://www.lth.se/english/study-at-lth/phd-studies/ Subject and project description ELLIIT (https://elliit.se ) is a strategic research
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clinical care and providing services to the community that focus on obtaining optimal health. Your Role on the Team The staff physician provides comprehensive integrative medicine and/or functional medicine
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prediction Integration of domain decomposition methods into the learning framework to enable efficient model parallel training Implementation and optimization of GPU-accelerated training pipelines Validation
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13219 Position Summary: We are seeking a motivated and skilled Postdoctoral Fellow to join our research team. The successful candidate will work on optimizing methods for nanofibers extraction from
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to leverage quantum computing and quantum sensing technologies for the development and optimization of next-generation batteries. Quantum computing bears tremendous potential in the simulation of interactions
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an excellent publication record. Solid research experience in one or more of the following topics is expected: Graph neural networks Optimization algorithms Predicting structured output Self-supervised learning